Retrospective analysis at ObesityWeek will explore how AI-based modeling can provide context for longer-term obesity study results
SAN FRANCISCO, CA / ACCESS Newswire / November 12, 2026 / Unlearn today announced a collaboration with Structure Therapeutics Inc., a clinical-stage biopharmaceutical company developing oral small molecule therapeutics for metabolic diseases, with a focus on chronic weight management, to explore the application of AI-generated digital twins in obesity research. The collaboration will analyze existing data from Structure's completed ACCESS open-label extension (OLE) study of aleniglipron, an investigational, once-daily, orally available small molecule agonist of the glucagon-like peptide-1 (GLP-1) receptor.
Using anonymized patient data collected in the completed OLE study, the retrospective analysis will use Unlearn's AI-based modeling to estimate what participant outcomes might have been without the investigational treatment. Unlearn refers to these model-generated estimates as "digital twins." Comparing AI-based estimates with an observed study outcome may provide additional context for interpreting a study's longer-term findings.
"This collaboration is an opportunity to explore how AI-generated digital twins can support the interpretation of longer-term obesity study data," said Steve Herne, CEO of Unlearn. "By comparing model-generated estimates with observed outcomes, we aim to explore how this approach may contribute to obesity research."
"We appreciate Unlearn's interest in the ACCESS OLE findings and its efforts to further explore the data," said Blai Coll, M.D., Ph.D., Chief Medical Officer of Structure Therapeutics. "While separate from our clinical development program, this analysis may provide additional context for our comprehensive evaluation of the clinical profile of aleniglipron."
Data from Unlearn's analysis will be included in a poster titled "Aleniglipron in Participants Living with Overweight or Obesity: ACCESS Trial Open-Label Extension" to be presented at ObesityWeek, The Obesity Society's annual meeting, November 14-17, 2026, in National Harbor, Maryland.
About Unlearn
Unlearn exists to transform clinical development by making every trial smarter. Partnering with pharmaceutical and biotechnology companies, Unlearn harnesses data, AI, and digital twins to enable faster, more robust studies and clearer decision-making across clinical development. With a science-first approach and deep regulatory engagement-including EMA qualification and FDA support-Unlearn brings unmatched scientific credibility to applying AI in clinical trials.
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Media Contacts:
Heather D'Angelo, Unlearn
heather@unlearn.ai
SOURCE: Unlearn AI
View the original press release on ACCESS Newswire:
https://www.accessnewswire.com/newsroom/en/business-and-professional-services/unlearn-and-structure-therapeutics-collaborate-to-apply-ai-gener-1249734